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Most popular at the top

  • Structural Equations with Latent Variablesby Kenneth A. Bollen

    Wiley 2014; US$ 184.00

    Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on ordering. It begins with an introduction to basic descriptive... more...

  • Angewandte Deskriptive Statistikby Johannes Natrop

    De Gruyter 2015; US$ 42.00

    With great analytic depth, this textbook clearly illuminates the basic principles of descriptive statistics. It accomplishes this aim with lively language and numerous illustrations, overviews, and tables along with practice exercises. more...

  • Guide to Economic Indicatorsby Richard Stutely; The Economist Newspaper Ltd

    Economist Books 2006; US$ 20.00

    Provides the keys to understanding the major economic indicators: what they are, the areas they cover, their reliability, and how and why to interpret them. This book contains chapters covering: GDP (Gross Domestic Product), GNP (Gross National Product) and GNI (Gross National Income); growth, trends and cycles; and more. more...

  • Understanding Databy Bonnie H. Erickson; T.A. Nosanchuk

    McGraw-Hill Education 1992; US$ 46.00

    This is an introductory text on statistics for sociologists and students of sociology. It emphasizes exploratory data techniques and discusses primary characteristics: simplicity, resistance and elucidation. The coverage is from basic statistics up to multiple regression and two-way anova. more...

  • Insurance Statistics Yearbook 2000by OECD Publishing

    Organisation for Economic Co-operation and Development 2000; US$ 135.00

    This annual publication gathers major official insurance statistics for all OECD countries as well as the Slovak Republic which has an observer status to the OECD Insurance Committee. The reader is provided with information on the diverse activities of this industry and on international insurance market trends. The data, standardised as far as possible,... more...

  • Longitudinal Research with Latent Variablesby Kees van Montfort; Johan H.L. Oud; Albert Satorra

    Springer Berlin Heidelberg 2010; US$ 129.00

    This book offers a detailed explanation of longitudinal research methodology with latent variables, and shows how this methodology is implemented in practice with current software and real datasets. Covers specific approaches, their histories and their uses. more...

  • Principles of Statistical Techniquesby P. G. Moore

    Cambridge University Press 1969; US$ 40.00

    This is a straightforward and practical introduction to statistics for students without any advanced knowledge of mathematics who need to use statistical techniques. more...

  • Cross Section and Experimental Data Analysis Using EViewsby I. Gusti Ngurah Agung

    Wiley 2011; US$ 140.00

    A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. " This book is a reflection of the vast experience and knowledge of the author. It is a useful reference for students and practitioners dealing with cross sectional data analysis ... The strength of the book lies in its wealth... more...

  • CliffsNotes Statistics Quick Reviewby David H. Voelker; Peter Z. Orton; Scott Adams

    Wiley 2011; US$ 9.99

    Inside the Book: Graphic displays Numerical measures Probability Sampling Principles of testing Univariate inferential tests Bivariate relationships Review questions Resource center Glossary Common mistakes Tables Why CliffsNotes? Go with the name you know and trust Get the information you need-fast!... more...

  • Quantitative Data Analysisby Donald J. Treiman

    Wiley 2014; US$ 85.00

    ?Quantitative Data Analysis , by Donald J. Treiman, is a well-written demonstration of how to answer questions using statistics. The range of techniques is broad, ranging from simple advice for making tables readily readable through linear and logistic regression to log-linear and random-effects models? Treiman writes using clear, precise language?... more...